scholarly journals Bayesian Unconditional Quantile Regression: An Analysis of Recent Expansions in Wage Structure and Earnings Inequality in the US 1992-2009

2014 ◽  
Vol 61 (2) ◽  
pp. 129-153 ◽  
Author(s):  
Michel Lubrano ◽  
Abdoul Aziz Junior Ndoye
Keyword(s):  
Quantile Regression ◽  
Wage Structure ◽  
Earnings Inequality ◽  
Unconditional Quantile Regression ◽  
The Us

scholarly journals Does Education and Experience Matter in the Distribution of Wages in Nepal? A Quantile Regression Approach

2019 ◽  
pp. 1-14
Author(s):  
Pujan Adhikari ◽  
Kishor KC ◽  
Siddha Raj Bhatta
Keyword(s):  
Quantile Regression ◽  
Informal Sector ◽  
Wage Structure ◽  
Maximum Effect ◽  
Formal Sector ◽  
Market Returns ◽  
Agriculture Sector ◽  
Wage Returns ◽  
Return To Schooling ◽  
Experience Effect

 Labor market returns depend on the level of education as well as experience of the labors. Though education is argued to be the key determinant of wage rate, other factors such as the sector of employment, gender of the employee, marital status and work industry also matter. This paper investigates the returns from years of schooling and experience by examining the wage structure in formal, informal and agriculture sectors of Nepal. The Mincerion wage equation and quantile regression technique has been used to analyze such impact by utilizing the recent labor force survey data of Nepal. Our results show that wage returns are positively associated with schooling in all the three sectors. However, return to experience has negative association in case of agriculture sector. Furthermore, return to schooling has higher impact at higher quantile along with the distribution of wages in formal sector and informal sector. The maximum effect of education is 4 percent at 0.90 quantile in formal sector. An additional year of experience has high impact at lower-wage group in case of informal and formal sector. The effect varies from 9.2 percent at 0.1 quantile and 4.9 percent at 0.9 quantile in formal sector. The experience effect is higher at median (4.06 percent) in case of informal sector.

scholarly journals Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure

Econometrica ◽  
2006 ◽  
Vol 74 (2) ◽  
pp. 539-563 ◽  
Author(s):  
Joshua Angrist ◽  
Victor Chernozhukov ◽  
Ivan Fernandez-Val
Keyword(s):  
Quantile Regression ◽  
Wage Structure ◽  
The U.S
Sign in / Sign up

Export Citation Format

Share Document